Деректер

The paper presents the SemEval-2012 Shared Task 5: Chinese Semantic Dependency Pars- ing. The goal of this task is to identify the de- pendency structure of Chinese sentences from the …...

AbstractWe present and apply two methods for addressing the problem of selecting relevant training data out of a general pool for use in tasks such as machine translation. Building on …...

AbstractCurrent state of the art systems in NLP heavily rely on manually annotated datasets, which are expensive to construct. Very little work adequately exploits unannotated data – such as discourse …...

Neural networks have become the state- of-the-art approach for machine transla- tion (MT) in many languages. While linguistically-motivated tokenization tech- niques were shown to have significant ef- fects on the …...

AbstractTechnology for language generation has advanced rapidly, spurred by advancements in pre-training large models on massive amounts of data and the need for intelligent agents to communicate in a natural …...

We propose a study of the development of scientific topics through time, as well as the relations between them within the scientific field of computational linguistics and across subfields. We …...

AbstractThis paper describes Microsoft’s submission to the first shared task on sign language translation at WMT 2022, a public competition tackling sign language to spoken language translation for Swiss German …...

AbstractSimilar judgments search is an important task in legal practice, from which valuable legal insights can be obtained. Issues are disputes between both parties in civil litigation, which represents the …...

AbstractAn idealized, though simplistic, view of the referring expression production and grounding process in (situated) dialogue assumes that a speaker must merely appropriately specify their expression so that the target …...

AbstractCross-lingual named entity recognition (NER) suffers from data scarcity in the target languages, especially under zero-shot settings. Existing translate-train or knowledge distillation methods attempt to bridge the language gap, but …...